rebot-arm-grasp

rebot-arm-grasp is a skill for Codex from Seeed-Projects/Seeed-Jetson-DevelopTool. It costs 65 tokens per session (2,064 once invoked), scanned A, original, MIT.

A robot-operation skill for a Seeed reBot DevArm B601, a physical arm that can locate, grasp, and move objects. It uses CASCADE, a separate control system that handles joint movement, speed limits, obstacles, and contact checks.

In plain words
What is it for?
Use it to run or verify object-grasping tasks, check calibration and safety state, and operate the arm through an existing CASCADE MCP connection.
Why use it?
It keeps high-level decisions such as what to grasp separate from the low-level safety and motion controls, while allowing mock tests before hardware use.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions Codex.

Good fit Use it to run or verify object-grasping tasks, check calibration and safety state, and operate the arm through an existing CASCADE MCP connection.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/seeed-projects/seeed-jetson-developtool/rebot-arm-grasp
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add Seeed-Projects/Seeed-Jetson-DevelopTool --skill rebot-arm-grasp
Clone the repo
git clone --depth 1 https://github.com/Seeed-Projects/Seeed-Jetson-DevelopTool

Made for: Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for rebot-arm-grasp

README.md
[![agentmods](https://agentmods.dev/badge/skills/seeed-projects/seeed-jetson-developtool/rebot-arm-grasp/github.svg)](https://agentmods.dev/skills/seeed-projects/seeed-jetson-developtool/rebot-arm-grasp)
Your own site
<a href="https://agentmods.dev/skills/seeed-projects/seeed-jetson-developtool/rebot-arm-grasp"><img src="https://agentmods.dev/badge/skills/seeed-projects/seeed-jetson-developtool/rebot-arm-grasp/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for rebot-arm-grasp

Your own site · 80×15
<a href="https://agentmods.dev/skills/seeed-projects/seeed-jetson-developtool/rebot-arm-grasp"><img src="https://agentmods.dev/badge/skills/seeed-projects/seeed-jetson-developtool/rebot-arm-grasp.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 65 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,064 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00065 $0.02064
Opus 5.5 $0.00026 $0.00826
Sonnet 5.5 $0.00013 $0.00413
Haiku 4.5 $0.00006 $0.00206

Measured 4d ago against content hash 17e64f103f52, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

rebot-arm-grasp scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.

The scan reads SKILL.md. This mod also ships 4 executable files (scripts/mock_fixture_server.py, scripts/runtime.py, scripts/smoke_test.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

seeed_jetson_develop/skills/openclaw/rebot-arm-grasp/SKILL.md · 55 lines

How it starts

The opening of the file, as written. The whole thing — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.

reBot 物体抓取

让 Codex 作为决策 agent,使用一个持续运行的 CASCADE MCP 会话完成观察 → 定位 → 抓取/搬放 → 结果核验。关节控制、IK、速度限制、障碍物和接触检查继续由 CASCADE 执行。此 skill 是操作层,运行时依赖完整 CASCADE 源码、机器人资产和现场配置;单独安装 skill 不会安装驱动或获得硬件验收。

入口与连接

  • 已有 CASCADE MCP:先读取 world_state,确认当前实际 arm、camera 和能力;不要创建第二个总线控制进程。工具名前缀取决于 MCP 注册名称,以实际 tools/list 为准。
  • 尚未连接:读 setup.md,运行 scripts/runtime.py check。默认是纯 mock。check 只检查本地文件/依赖,不访问设备,也不代表实机 READY。
  • 实机接入前读 hardware.md。本包实机启动器支持 type: rebot_rs 的 B601 RobStride SDK 路径;rebot_rs_mb、DM 电机和其他机械臂需要各自验证,不自动切换。
  • 用 scripts/runtime.py mcp-config 生成配置,serve 持续提供原生 MCP。启动器将实机置于软件 STOP;用户当前抓取指令已授权实机运动且现场检查通过时,可以按实际 schema 调用 reset_stop。历史急停、接触故障或操作员禁用的 reset 必须先解决原因,不自动清除。
  • 本包没有通用实机 call/批量运动脚本。实机调用通过已注册 MCP 会话进行;smoke_test.py 被固定为 mock。

命令示例(SKILL 是本技能所在目录,REPO 是目标 CASCADE checkout 的绝对路径):

python3 "$SKILL/scripts/runtime.py" check --repo "$REPO"
python3 "$SKILL/scripts/runtime.py" smoke --repo "$REPO"
python3 "$SKILL/scripts/runtime.py" check --repo "$REPO" \
  --mode hardware --arm rebot_rs --cameras YOUR_CALIBRATED_CAMERA

每次任务

  1. 读 world_state,检查 stopped、tracked_holding、gripper_contents、backends、capabilities、tools_withheld 和操作员隐藏项。MCP 的 tracked_holding 是 session 记录,gripper_contents 通常是 not_measured;其他界面可能称 holding/estopped。待接触/释放、可能仍有负载、标定失效或地图错误时,进入 recovery.md,不要通过改限制恢复运动。
  2. 调用 get_observation 或 describe_scene 获取当前图像。camera_snapshot 可选择 exact camera name。确认目标身份、所在工作区域及放置目的地;同类物体不唯一时用 localize_object(label, spatial_hint),仍不明确就澄清。自然语言可用中文;参数保留工具要求的名称/枚举,物体 label 按实际图像和识别结果表达。
  3. 实机用 localize_object 和 preview_grasp 检查目标位置、尺寸、拟议夹爪宽度/方向。位置是机器人基座坐标、米;关节角是弧度。预览仅是候选计划,不证明完整运动可执行,实际抓取仍要重新感知并经过 IK/安全检查。configured zone 是配置来源,不证明它可见或为空。
  4. 按用户意图选择一个工具:
    • “抓住/拿起来并保持”:grasp_object({"label": "red cube", "material": "rigid"})。完成后保留会话及负载;不追加放下、开爪或断电。
    • “抓取并放到 …”:优先 pick_and_place({"object": "red cube", "destination": "已确认的目的地"});仅用户接受当前配置的 drop zone 时才省略 destination。此工具包含有界重试和返回 home,检查 return_home,不重复调用 move_home。
    • 已持物:先核实持物身份和负载状态,再用 place_on_object,或用本次观测/现场确认的基座坐标调用 place_at。不重新抓取另一物体。
  5. 查看动作结果中的 ok、execution_ok(若有)、stage、outcome、postcondition、return_home;再读 verify_last_action 和新观测。verify_last_action 读取已保存 verdict,不重新测量,也不能升级缺失证据。多步任务在下一动作前用 task_memory 检查已完成步骤。
  6. 报告目标、实际动作、结果状态和证据来源,并给出 trace/run 路径。postcondition.status 为 confirmed 才称该后置条件独立验证成功;refuted 是失败;unverified 明确说缺乏独立证据。tracked_holding、belief 更新、模型置信度、ok: true、端口连通都不能单独证明物理成功。Mock 的静态图像通常 abstain,不能声称物体真的移动。

Read the full file on GitHub · 55 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 4d ago First seen · 55 lines · 65 tokens per session scan A 17e64f103f52

Subscribe to this mod's changes

rebot-arm-grasp is a skill published in the GitHub repository Seeed-Projects/Seeed-Jetson-DevelopTool (56 stars, last pushed yesterday), licensed MIT. It adds 65 tokens to every session and 2,064 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-24.

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